Master of Science in Business Analytics (NUS MSBA)
Singapore, Singapore
DURATION
1 up to 2 Years
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Aug 2024
TUITION FEES
SGD 58,000 / per year *
STUDY FORMAT
Blended, On-Campus
* Singaporeans/PR: S$53,000; International: S$58,000 (fees are subject to 7% Goods and Services tax)
Introduction
NUS MSBA Application Checklist - AY2021/2022
Program Description
The NUS Master of Science in Business Analytics (NUS MSBA) program is jointly offered and designed by two globally ranked schools, NUS Business School and NUS Computing. In this program, students learn through a balance of intellectual academic rigor and hands-on application. They are equipped with the necessary skill sets, techniques, tools and knowledge such as machine learning and deep learning to solve complex Business Analytics problems in different industries such as finance, retail, information technology, supply chain and healthcare. Students will also access opportunities to interact and have in-depth discussions with various companies that are trailblazers in the relevant fields.
Admissions
Curriculum
Curriculum
Students must complete eight modules consisting of five essential modules and three elective modules over a span of 1 year as a full-time candidate or 2 years as a part-time candidate. The MSBA capstone module will be a concurrent module in the form of capstone classes, industry analytics seminars, and a 3 to 6 months full-time consulting project.
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Career Opportunities
Career Opportunities
Depending on your area of interest, the career opportunities are boundless as the business analytics industry worldwide is growing at full speed. Singapore is a leading business hub and a gateway to Asia for multinational corporations. It has the infrastructure, technology, and economic landscape in place to support businesses, which require data scientists, cybersecurity experts, artificial intelligence, and many more. NUS is well-positioned to leverage industry, academia and government partnerships for students who are keen to pursue a career in the analytics field locally and internationally.